Automated test generation for web forms has been a longstanding challenge, exacerbated
by the intrinsic human-centric design of forms and their complex, device-agnostic structures …

Automated test generation for web forms has been a longstanding challenge, exacerbated
by the intrinsic human-centric design of forms and their complex, device-agnostic structures …

The emergence of numerous fork-based development platforms facilitates the development
of Open-Source Software (OSS) projects. Developers across the world can fork software …

Data entry forms use completeness requirements to specify the fields that are required or
optional to fill for collecting necessary information from different types of users. However …

Data quality is crucial in modern software systems, like data-driven decision support
systems. However, data quality is affected by data anomalies, which represent instances that …

This paper represents the Replicated Computational Results (RCR) related to our TOSEM
paper “A Machine Learning Approach for Automated Filling of Categorical Fields in Data …

Checking receipt data is essential for tax authorities to ensure compliance with financial
reporting regulations, identify potential anomalies, and prevent tax violations. This study …

Predictive suggestion systems offer contextually-relevant text entry completions. Existing
approaches, like autofill, often excel in narrowly-defined domains but fail to generalize to …

Large language models (LLMs) such as the GPT family have shown remarkable natural
language processing capabilities across a variety of tasks without requiring retraining or fine …

The deep web is comprised of a large corpus of information hidden behind the searchable
web interfaces. Accessing content through searchable interfaces is somehow a challenging …